mlsanityData to 7 Oct 2026

Seamlessly Integrating Factual Information and Social Content with Persuasive Dialogue

arXiv 2203.07657 ↗First posted 15 Mar 2022cs.CL cs.AI cs.CYcited by 11

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Abstract (arXiv)

Complex conversation settings such as persuasion involve communicating changes in attitude or behavior, so users' perspectives need to be addressed, even when not directly related to the topic. In this work, we contribute a novel modular dialogue system framework that seamlessly integrates factual information and social content into persuasive dialogue. Our framework is generalizable to any dialogue tasks that have mixed social and task contents. We conducted a study that compared user evaluations of our framework versus a baseline end-to-end generation model. We found our framework was evaluated more favorably in all dimensions including competence and friendliness, compared to the end-to-end model which does not explicitly handle social content or factual questions.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 33 of its 62 references that are in the map. First posted on arXiv 15 Mar 2022.

Builds on

33 of 62 references.

References · 33

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  3. 2018MultiWOZ -- A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modellingcited by 760
  4. 2019CTRL: A Conditional Transformer Language Model for Controllable Generationcited by 754
  5. 2020Recipes for building an open-domain chatbotcited by 593
  6. 2019Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Datasetcited by 426
  7. 2021Beyond Goldfish Memory: Long-Term Open-Domain Conversationcited by 266
  8. 2021Internet-Augmented Dialogue Generationcited by 217
  9. 2019Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Goodcited by 207
  10. 2017Deal or No Deal? End-to-End Learning for Negotiation Dialoguescited by 202
  11. 2020MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselinescited by 201
  12. 2018The Design and Implementation of XiaoIce, an Empathetic Social Chatbotcited by 172
21 more
  1. 2018Neural Approaches to Conversational AIcited by 164
  2. 2018Decoupling Strategy and Generation in Negotiation Dialoguescited by 156
  3. 2019Challenges in Building Intelligent Open-domain Dialog Systemscited by 147
  4. 2019What makes a good conversation? How controllable attributes affect human judgmentscited by 140
  5. 2016Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussionscited by 106
  6. 2018Retrieve and Refine: Improved Sequence Generation Models For Dialoguecited by 82
  7. 2018Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memorycited by 49
  8. 2020Adding Chit-Chat to Enhance Task-Oriented Dialoguescited by 48
  9. 2021Annotation Inconsistency and Entity Bias in MultiWOZcited by 30
  10. 2021Controllable Abstractive Dialogue Summarization with Sketch Supervisioncited by 27
  11. 2019Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Modelscited by 25
  12. 2019Sentence-Level Content Planning and Style Specification for Neural Text Generationcited by 23
  13. 2020Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstrationcited by 20
  14. 2019End-to-End Trainable Non-Collaborative Dialog Systemcited by 19
  15. 2019A Hybrid Retrieval-Generation Neural Conversation Modelcited by 18
  16. 2020Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwardscited by 18
  17. 2016Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systemscited by 13
  18. 2021LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcingcited by 11
  19. 2019Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Communitycited by 9
  20. 2019What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Argumentscited by 8
  21. 2020Persuasive Dialogue Understanding: the Baselines and Negative Resultscited by 3

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Cited by year

Citing papers per year: 2023: 3; 2024: 5; 2025: 3.

11 papers.

  1. 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
  2. 2023Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planningcited by 60
  3. 2024Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Trainingcited by 53
  4. 2023Controllable Mixed-Initiative Dialogue Generation through Promptingcited by 32
  5. 2025PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialoguescited by 16
  6. 2024Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrievalcited by 14
  7. 2025Must Read: A Comprehensive Survey of Computational Persuasioncited by 12
  8. 2024AutoPal: Autonomous Adaptation to Users for Personal AI Companionshipcited by 6
  9. 2025Learning Steerable Clarification Policies with Collaborative Self-playcited by 5
  10. 2024The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trendscited by 4
  11. 2024On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experimentscited by 4